Yufei Jin

Imperial College London, Chinese University of Hong Kong, Shenzhen

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About

Yufei Jin is a pioneering roboticist whose work bridges the gap between aerial-aquatic systems and precision micromanipulation. His research focuses on multimodal robotics, underwater sample acquisition, and vision-based depth estimation for micro-scale automation. Jin’s most notable contribution is the development of MEDUSA, a multi-environment dual-robot system designed for underwater sample acquisition. This work, which has garnered 45 citations, addresses the formidable challenges of operating across air and water—including communication incompatibility, increased airborne mass, and manufacturing difficulties—offering a novel platform for environmental monitoring and marine biology. More recently, Jin has advanced the field of robotic micromanipulation with a weakly-supervised depth completion method that extracts z-axis depth information from monocular microscopic images, circumventing the lack of traditional depth sensors like lidar at micro-scales. This innovation, published in 2024, promises to enhance precision in tasks such as cell manipulation and micro-assembly. With a growing citation footprint, Jin’s work is shaping the future of adaptive, cross-domain robotics and automated micro-scale operations.